Snowflake QA

Snowflake QA

Posted Today by Pull Skill Technologies

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Negotiable
Undetermined
Remote
Remote
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Artificial Intelligence Component Object Model (COM) Data Engineering Data Processing Data Processing Systems Data Quality Data Validation Document Capture Software Document Processing Metadata Snowflake (Data Warehouse) SQL (Programming Language) Test Execution Engine Verification And Validation Workflows

Summary: The Snowflake QA Lead role involves leading quality assurance efforts for Snowflake Cortex AI solutions, focusing on data validation and testing of AI-driven document processing pipelines. The position requires expertise in Snowflake Cortex, SQL, and the ability to design complex test cases. The role is remote and is expected to last 3-4 months, with potential for extension. The ideal candidate will collaborate with data engineering and AI teams to ensure data quality and resolve issues.

Key Responsibilities:

  • Design, document, and execute detailed QA test cases for Snowflake Cortex AI solutions
  • Validate Natural Language (NL) search capabilities and AI-driven search results
  • Test document ingestion and metadata extraction workflows from S3 buckets into Snowflake
  • Validate handling of unstructured/imaged complaint documents
  • Perform end-to-end testing of data pipelines, ingestion processes, tagging, and metadata storage
  • Ensure data quality, accuracy, and consistency across Snowflake environments
  • Collaborate with data engineering and AI teams to troubleshoot and resolve issues
  • Track defects, follow up on test execution, and support production validation activities
  • Work closely with teams adopting Cortex AI technologies in a rapidly evolving environment

Key Skills:

  • Strong experience with Snowflake Cortex AI
  • Experience testing Natural Language Search (NL Search) solutions
  • Experience validating document scanning / unstructured document ingestion workflows
  • Strong SQL skills for data validation and analysis
  • Experience with S3 bucket integrations and metadata extraction workflows
  • QA/Test Lead experience in data engineering or AI-driven platforms
  • Experience validating pipeline ingestion, tagging, and metadata processing

Salary (Rate): £50

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Snowflake QA Lead
Location: 100% Remote
Duration: 3-4 months for the pilot project then could be extended

Role Overview

  • We are seeking a highly skilled Snowflake QA Lead with strong experience in Snowflake Cortex AI, data validation, and testing of AI-driven document processing pipelines. The ideal candidate will lead QA efforts around unstructured document ingestion, metadata extraction, Natural Language search validation, and Snowflake-based data workflows.
  • This role requires deep expertise in Snowflake Cortex, strong SQL skills, and the ability to design and execute complex test cases for AI/ML-driven data processing systems.

Key Responsibilities

  • Design, document, and execute detailed QA test cases for Snowflake Cortex AI solutions
  • Validate Natural Language (NL) search capabilities and AI-driven search results
  • Test document ingestion and metadata extraction workflows from S3 buckets into Snowflake
  • Validate handling of unstructured/imaged complaint documents
  • Perform end-to-end testing of data pipelines, ingestion processes, tagging, and metadata storage
  • Ensure data quality, accuracy, and consistency across Snowflake environments
  • Collaborate with data engineering and AI teams to troubleshoot and resolve issues
  • Track defects, follow up on test execution, and support production validation activities
  • Work closely with teams adopting Cortex AI technologies in a rapidly evolving environment

Required Skills

  • Strong experience with Snowflake Cortex AI
  • Experience testing Natural Language Search (NL Search) solutions
  • Experience validating document scanning / unstructured document ingestion workflows
  • Strong SQL skills for data validation and analysis
  • Experience with S3 bucket integrations and metadata extraction workflows
  • QA/Test Lead experience in data engineering or AI-driven platforms
  • Experience validating pipeline ingestion, tagging, and metadata processing

Preferred Skills

  • AI/ML testing experience
  • Snowflake data engineering exposure
  • Experience with OCR/document intelligence platforms
  • Automation testing exposure for data pipelines

Regards

Tim Patten

tim (at) pullskill (dot) com

551-272-o2o3

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